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Architecture and techniques for diagnosing faults in IEEE 802.11 infrastructure networks
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Source International Conference on Mobile Computing and Networking archive
Proceedings of the 10th annual international conference on Mobile computing and networking table of contents
Philadelphia, PA, USA
SESSION: Service infrastructure and network management table of contents
Pages: 30 - 44  
Year of Publication: 2004
ISBN:1-58113-868-7
Authors
Atul Adya  Microsoft Research, Redmond, WA
Paramvir Bahl  Microsoft Research, Redmond, WA
Ranveer Chandra  Cornell University, Ithaca, NY
Lili Qiu  Microsoft Research, Redmond, WA
Sponsors
SIGMOBILE: ACM Special Interest Group on Mobility of Systems, Users, Data and Computing
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 30,   Downloads (12 Months): 200,   Citation Count: 18
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ABSTRACT

The wide-scale deployment of IEEE 802.11 wireless networks has generated significant challenges for Information Technology (IT) departments in corporations. Users frequently complain about connectivity and performance problems, and network administrators are expected to diagnose these problems while managing corporate security and coverage. Their task is particularly difficult due to the unreliable nature of the wireless medium and a lack of intelligent diagnostic tools for determining the cause of these problems.This paper presents an architecture for detecting and diagnosing faults in IEEE 802.11 infrastructure wireless networks. To the best of our knowledge, ours is the first paper to address fault diagnostic issues for these networks. As part of our architecture, we propose and evaluate a novel technique called Client Conduit, which enables boot-strapping and fault diagnosis of disconnected clients. We describe techniques for analyzing performance problems faced in a wireless LAN deployment. We also present an approach for detecting unauthorized access points. We have built a prototype of our fault diagnostic architecture on the Windows operating system using off-the-shelf IEEE 802.11 cards. The initial results show that our mechanisms are effective; furthermore, they impose low overheads when clients are not experiencing problems.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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CITED BY  18

Collaborative Colleagues:
Atul Adya: colleagues
Paramvir Bahl: colleagues
Ranveer Chandra: colleagues
Lili Qiu: colleagues